Fault Diagnosis of Tennessee Eastman Process with XGB-AVSSA-KELM Algorithm
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- Chen, Chao & Reniers, Genserik & Khakzad, Nima, 2021. "A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
- Chen, Chao & Khakzad, Nima & Reniers, Genserik, 2020. "Dynamic vulnerability assessment of process plants with respect to vapor cloud explosions," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
- Yang, Zhang & Ce, Li & Lian, Li, 2017. "Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods," Applied Energy, Elsevier, vol. 190(C), pages 291-305.
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- Anping Wan & Qing Chang & Yinlong Zhang & Chao Wei & Reuben Seyram Komla Agbozo & Xiaoliang Zhao, 2022. "Optimal Load Distribution of CHP Based on Combined Deep Learning and Genetic Algorithm," Energies, MDPI, vol. 15(20), pages 1-19, October.
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Keywords
fault diagnosis; Tennessee Eastman process; KELM; XGBOOST; AVSSA; feature selection;All these keywords.
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